By Mark Needham, Developer Relations Engineer | February 3, 2018
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days.
This week we have a graph of Thomson Reuters’ OpenPermID dataset, running Neo4j on Google Cloud, migrating from MySQL to Neo4, as well as a data lineage talk from GraphConnect NYC 2017.
Featured Community Member: Suellen Stringer-Hye
Suellen Stringer-Hye – This Week’s Featured Community Member
Suellen has been part of the Neo4j community for several years and presented her work using graphs to analyse digital humanities data at GraphConnect San Francisco 2015. She also presented Using Neo4j to Explore Nascent Research Networks with Clifford Anderson and Ed Warga at the 2015 VIVO Conference.
On behalf of the Neo4j and humanities communities, thanks for all your work Suellen!
Pick of the week: Thomson Reuters’ OpenPermID Graph
Thomson Reuters’ OpenPermID
In the first part of the post Jesus shows how to import the dataset using the neosemantics extension. The dataset contains 127 million triples which is turned into a graph of 18.8 million nodes and 101 million relationships.
Jesus then goes on to show how to query the graph to do complex path analysis and how to build nice charts on the output of those queries using standard BI tools. He finishes the post by showing how to build an RDF API on top of the graph.
You can get all the code from Jesus’ blog post from the openpermid2neo4j GitHub repository.
iPhone Database Browser, MySQL to Neo4j,
- Niklas Saers, the featured community member from 3rd June 2017, released Graph Gopher – an iPhone Neo4j database browser.
- Arjun Rajeev Nedungadi wrote a blog post showing how to get started with data analysis using Neo4j. Arjun shows how to import and query data from the Issuu Research Database.
- Otavio Santana has written a post in which he shows how to build a career recommendation engine with Neo4j. Otavio explains how to build a REST API that executes graph queries using Java and the Apache Tinkerpop library under the hood.
- Fabio Mercorio published GraphDBLP – a tool that models DBLP (the Computer Science Bibliography) as a graph database for performing graph-based queries and social network analyses.
- Ezra Caltum created POLAR (Path Of LeAst Resistance), a tool to help find relationships in binaries by loading them into a graph.
From GraphConnect: Real-Time Data Lineage at UBS
At GraphConnect NYC 2017 Wren Chan and Sidharth Goyal explained how Neo4j allows them to trace lineage of all metrics for all initiatives across the bank.
In the talk they explain how they built a system that syncs data between Oracle and Neo4j and does lineage generation using Cypher queries. A fun dataset of the UK royal family is used to explain how it all works.
Kubernetes on Google Cloud, Django, Excel
- M. David Allen wrote a step by step tutorial in which he shows how to deploy Neo4j on Google Cloud Platform using Kubernetes.
- In a blast from the past Quentin Plessis created smalltalk-neo4j – a tool for manipulating Neo4j data from Pharo Smalltalk via Cypher queries
- Chad Shryock wrote about his experience using Neo4j and Django while building CementJob, a publication focused on high-school wrestling in Pennsylvania.
- Chris Skardon shows how to create a Microsoft Excel Add-In using VSTO to execute Cypher queries and show the results in everyone’s favourite spreadsheet!
- Micha Kops has a very detailed post showing how to do Software Architecture Exploration and Validation with jqAssistant, Neo4j and Cypher. You might also like Markus Harrer‘s presentation about jqAssistant from the Neo4j Online Meetup in November 2017.
- Michael Blum has written a guide showing how to migrate data from MySQL to Neo4j. Michael used Python and SQLAlchemy to generate CSV files from the MySQL database and then uses Cypher‘s LOAD CSV command to import those into Neo4j.
What’s happening next week in the world of graph databases?
February 8th 2018
Tweet of the Week
My favourite tweet this week was by Nicholas P Moran:
Started using a Neo4j database today at work. Never going back to a SQL DB. Never ever.— Nicholas P Moran (@atreayou) January 29, 2018
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!
About the Author
Mark Needham, Developer Relations Engineer
Mark Needham is a graph advocate and developer relations engineer at Neo4j.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.
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